Code and Results for Chapter 9:

Introduction:
These are results and code for the problems and examples found in Chapter 9 of this famous book.

1. prob_9_2.m (clustering the household data)
   
2. prob_9_3.m (a classification tree for the household data)
   
3. prob_9_4.m (clustering the measure data)
   
4. prob_9_5.m (the functions cluster and inconsistent)
   
5. prob_9_6.m (cross validation on the tibetan data)
   
6. prob_9_7.m (classifying the bank data)
   
7. prob_9_7_mdG.m (using a multidimensional Gaussian)
   
8. prob_9_7_prD.m (using a product kernel density)
   
9. prob_9_8.m (the ROC curves for the bank data)
   
10. prob_9_7_mdG_ROC.m (the ROC using a multidimensional Gaussian)
    
11. prob_9_7_prD_ROC.m (the ROC using a product kernel density)
    
12. prob_9_9.m (a classification tree for the bank data)
    
13. prob_9_10.m (k-means clustering of the bank data)
    
14. prob_9_11.m (a MC study of the probability of misclassification)
    
15. prob_9_13.m (a classification tree for the flea data)
    
16. prob_9_15.m (classifying two species of iris: iris versicolor and virginica)
    
17. prob_9_16.m (classifying two species of iris: iris virginica and setosa)